What You’ll Do:

• Design and implement job scheduling systems from scratch, using tools like Kubernetes and Slurm
• Build scalable, fault-tolerant orchestration logic for heterogeneous GPU workloads
• Collaborate with other engineers to define APIs and interfaces for job submission, monitoring, and management
• Optimize resource allocation, startup latency, and throughput
• Make architectural decisions that will shape the platform long-term

What We’re Looking for:

• High sense of ownership - you like building from the groundup
• Strong software engineering skills, especially in systems or infrastructure
• Hands-on experience with Kubernetes, Slurm, or similar orchestration frameworks
• A background in SRE, platform engineering, or distributed systems is a strong plus
• Curiosity and creativity in solving infrastructure challenges
• Comfort working in fast-moving, unstructured environments

Bonus Points:

• Experience scaling compute infrastructure at a cloud provider or high-performance computing org
• Familiarity with GPU workloads or ML/AI job patterns

Why Join us:

• Build from zero: This is a rare opportunity to join a startup at the earliest stages and shape not just the product, but the foundation of the company. You’ll have real ownership over what you build - and the freedom to do things right from the beginning.
• Hard, meaningful problems: We’re tackling some of the most interesting challenges in cloud infrastructure, scheduling, and performance optimization - at the intersection of hardware and AI.
• World-class hardware: You’ll be working directly with cutting-edge GPU hardware and helping build the most performant compute platforms in Europe.
• Everything else: Compensation, equity, healthcare, team events etc – it’s our job to make sure you have everything you need to do your thing!